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2020 – today
- 2020
[j2]Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang
, Shandian Zhe, Zenglin Xu:
Block-term tensor neural networks. Neural Networks 130: 11-21 (2020)- [i8]Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu:
Block-term Tensor Neural Networks. CoRR abs/2010.04963 (2020)
2010 – 2019
- 2019
- [c7]Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu:
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. AAAI 2019: 4683-4690 - [c6]Zhonghui You, Jinmian Ye, Kunming Li, Zenglin Xu, Ping Wang:
Adversarial Noise Layer: Regularize Neural Network by Adding Noise. ICIP 2019: 909-913 - [c5]Zhonghui You, Kun Yan, Jinmian Ye, Meng Ma, Ping Wang:
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks. NeurIPS 2019: 2130-2141 - [i7]Zhonghui You, Kun Yan, Jinmian Ye, Meng Ma, Ping Wang:
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks. CoRR abs/1909.08174 (2019) - 2018
- [j1]Liyang Hao, Siqi Liang, Jinmian Ye, Zenglin Xu:
TensorD: A tensor decomposition library in TensorFlow. Neurocomputing 318: 196-200 (2018) - [c4]Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu:
Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition. CVPR 2018: 9378-9387 - [c3]Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska:
Superneurons: dynamic GPU memory management for training deep neural networks. PPoPP 2018: 41-53 - [i6]Linnan Wang, Jinmian Ye, Yiyang Zhao, Wei Wu, Ang Li, Shuaiwen Leon Song, Zenglin Xu, Tim Kraska:
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks. CoRR abs/1801.04380 (2018) - [i5]Zhonghui You, Jinmian Ye, Kunming Li, Ping Wang:
Adversarial Noise Layer: Regularize Neural Network By Adding Noise. CoRR abs/1805.08000 (2018) - [i4]Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu:
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition. CoRR abs/1811.07503 (2018) - 2017
- [c2]Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu:
Simple and efficient parallelization for probabilistic temporal tensor factorization. IJCNN 2017: 1-8 - [c1]Yiyang Zhao, Linnan Wang, Wei Wu, George Bosilca, Richard W. Vuduc, Jinmian Ye, Wenqi Tang, Zenglin Xu:
Efficient Communications in Training Large Scale Neural Networks. ACM Multimedia (Thematic Workshops) 2017: 110-116 - [i3]Jinmian Ye, Linnan Wang, Guangxi Li, Di Chen, Shandian Zhe, Xinqi Chu, Zenglin Xu:
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition. CoRR abs/1712.05134 (2017) - [i2]Guangxi Li, Jinmian Ye, Haiqin Yang, Di Chen, Shuicheng Yan, Zenglin Xu:
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition. CoRR abs/1712.05689 (2017) - 2016
- [i1]Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu:
Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization. CoRR abs/1611.03578 (2016)
Coauthor Index
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